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AI based classification of a Project Manager and Project Status

About the Client

° Client is an Australian based AI based Project Management Tool provider
° The cloud based Project Management tool has a huge database of information at every stage of the Project Management
° Idea of the AI engine is to predict and classify the Project proficiency and Project Manager Proficiency. Classification should consider more than 20 parameters extracted from various phases of the Project.

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Our Solutions

° Data extraction from SQL database and pre-processing of the data for AI feed
° Artificial Neural networks model to analyze various Project parameters like Scope, Risk, Schedule, Costs, Communication and integration.
° Dynamic weightages given to the parameters based on the global index as well as the local index derived from the history
° Application of Clustering Model: Kernel PCA
° Application of Classification Model: Random Forest
° Provision to capture the actual output of the Project and PM proficiency and feedback to ANN to adjust the weightages and continuously refine the model

Executive Summary

° Subitomf application and the public webpage are integrated currently. For marketing purposes, FCM wanted the public landing pages and the application to be separated.
° Implementation of the public search which allows the Visitors to search the musicians without Orchestra registration
° Redesign of the application UI/UX Templates to suit the new Theme and layout that will be purchased for public pages

Business Challenges

° Application was helping the users to find musicians in their locality
° The Objective of the Project is to take thumbnail photo from the profile picture (which is of different sizes and poses) uploaded by the musicians using AI (Image recognition)

Technology Landscape

Layer Technology
Backend API Frame work Node js and React js
Version control Git
AI Python
Database Postgres
Analytics Google Charts, Google analytics
Testing tool Cucumber
Web Server nginx
App Server Passenger

Application Preview

Value Proposition

° Predict and classify the efficiency of the Project Manager into four quadrants (Proactive Vs Reactive)
° Predict the probability of success of the Project based on the AI predictions
° PMS tool is the only kind that predicts the proficiency of a Project Manager and the Project probability of success
° Java based application was migrated to Angular 2 stack
° End to end implementation including migration, AI modelling and integration

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